At a Glance
- Tasks: Lead AI decisioning and pricing initiatives, driving impactful metrics and improvements.
- Company: Join a dynamic team at Raylo, focused on innovation and growth.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional development.
- Other info: Collaborative culture with a focus on outcomes and rapid experimentation.
- Why this job: Make a real impact in AI-driven product management and shape the future of pricing strategies.
- Qualifications: Experience in product management, strong SQL skills, and a passion for AI technologies.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- You're currently a Lead or Head of Product, passionate about backend systems and how things work under the hood.
- You're energised by complexity, balancing competing variables and finding the insight that changes how you see the problem.
- You're deeply curious about AI and already using these tools, even if your current employer hasn't caught up.
- You know your products inside out, make fast well‑reasoned decisions, and engineers are never left waiting on you.
- Strong SQL skills and a habit of digging into the numbers yourself.
- A track record of moving metrics that matter.
- Experience bringing engineering, risk, legal and commercial teams with you.
- Real in‑market experimentation experience and the ability to tell a result from noise.
- Comfort in fast‑moving, high‑ownership environments where the answer isn't always obvious.
What the job involves
This is a high‑impact Lead PM role reporting directly to Raylo’s Co‑Founder and Chief Product Officer. You’ll own the decisioning and pricing domain, one of our biggest growth levers, setting direction for frontend and backend engineers while partnering closely with Risk Strategy, who own credit modelling and analytics. Your work will directly impact approval rates, conversion, loss rates and ARR.
You’ll be part of a close‑knit product, engineering and design team. Designers obsess over taste, systems and service design. Product managers stay focused on value and what customers actually need, using quick, throwaway AI‑assisted prototypes to test ideas before real code gets written. Our engineers do what great engineers love most: they build. They use the best harness available, often Claude Code, and let AI take the first pass. When AI isn’t up to scratch, they go hands on the keyboard. AI accelerates their work, but craft, judgement and ownership stay with the engineer. All production code gets a final human review.
The team is organised into focused squads, partnering closely with the business. We care about outcomes more than process. AI is compressing execution, so rigid long‑term roadmaps matter less than they used to. But north stars still matter. We know where we’re going. How we get there is increasingly fluid.
AI decisioning and pricing is our core competitive advantage. The better our decisioning gets, the more good customers we can approve; the better our pricing gets, the more customers we can attract and convert.
We’re hiring a Lead Product Manager for AI Decisioning and Pricing. Reporting to the Co‑Founder and Chief Product Officer, you’ll set direction for a team of frontend and backend engineers, working closely with Risk Strategy, who own credit modelling and analytics. You’ll move the metrics that matter: approval rates, funnel conversion, loss rates, and insurance attachment. You’ll do that by finding and shipping improvements across the full decisioning and pricing stack, whether that’s verification UX, new data sources, open banking, pricing strategy, or the tooling Risk Strategy team needs to model and experiment faster. You’ll also lead the launch of AI‑driven dynamic subscription pricing that responds to live market signals — a genuinely new capability for the category. The scope is broad and this is the biggest lever we have for ARR growth. You’ll set the direction, then go deep on the details to make it real.
Lead Product Manager (AI Decisioning & Pricing) employer: Deepstreamtech
At Raylo, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Lead Product Manager, you'll thrive in a collaborative environment where your insights directly influence key metrics and drive growth. With a strong focus on employee development, cutting-edge technology, and a commitment to agile methodologies, we empower our team members to take ownership of their projects while enjoying the unique advantage of working at the forefront of AI decisioning and pricing.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Manager (AI Decisioning & Pricing)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, make sure to share them during interviews. It’s a great way to demonstrate your expertise and passion for product management.
✨Tip Number 3
Prepare for the unexpected! In fast-paced environments, interviewers might throw curveballs. Stay calm, think on your feet, and show how you can adapt to changing situations.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it helps us keep track of your application more easily.
We think you need these skills to ace Lead Product Manager (AI Decisioning & Pricing)
Some tips for your application 🫡
Show Your Passion for AI:Make sure to highlight your curiosity and experience with AI tools in your application. We want to see how you've used these technologies to solve problems or improve processes, even if your current workplace hasn't fully embraced them yet.
Demonstrate Your Decision-Making Skills:In your written application, share examples of how you've made fast, well-reasoned decisions in complex situations. We love candidates who can balance competing variables and still come out on top, so don't hold back on showcasing your thought process!
Quantify Your Impact:When discussing your past experiences, focus on the metrics that matter. We’re all about moving the needle, so include specific numbers or outcomes that demonstrate how your work has positively impacted approval rates, conversion, or any other relevant metrics.
Keep It Engaging and Authentic:Your application should reflect your personality and passion for the role. We appreciate authenticity, so don’t be afraid to let your voice shine through. And remember, applying through our website is the best way to get your application in front of us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Product Inside Out
Before the interview, make sure you have a deep understanding of the products you'll be managing. Familiarise yourself with their backend systems and how they function. This will not only help you answer technical questions but also demonstrate your passion for the role.
✨Showcase Your SQL Skills
Since strong SQL skills are a must, prepare to discuss specific instances where you've used SQL to dig into metrics that matter. Bring examples of how your data-driven decisions have positively impacted product outcomes, as this will highlight your analytical capabilities.
✨Emphasise Collaboration Experience
Be ready to talk about your experience working with cross-functional teams, especially in engineering, risk, and legal. Share stories that illustrate how you've successfully brought these teams together to achieve common goals, showcasing your leadership and teamwork skills.
✨Demonstrate Your Curiosity About AI
Since the role involves AI decisioning, express your enthusiasm for AI tools and how you've integrated them into your work. Discuss any real in-market experimentation you've conducted and how you've used AI to drive insights, as this will show you're ahead of the curve.
